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UnoHop: Efficient Distributed Hash Table with O(1) Lookup Performance

Herry Imanta Sitepu, Carmadi Machbub, Armein Z. R. Langi, Suhono Harso Supangkat

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Abstract

Distributed hash tables (DHTs) with O(1) lookup performance strive to propagate membership changes through efficient distribution mechanism to allow each node in the peer-to-peer network maintains accurate routing tables with complete membership information. We present UnoHop, an efficient DHT algorithm with O(1) lookup performance. UnoHop uses an efficient algorithm to propagate membership events through a dissemination tree that is constructed dynamically rooted at the node that detect the events. Our algorithm allows symmetric bandwidth usage at all nodes while decreasing the propagation delay, which is the time that required to update the routing table in all nodes at the occurrence of events.

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What this paper is about

Distributed hash tables (DHTs) with O(1) lookup performance strive to propagate membership changes through efficient distribution mechanism to allow each node in the peer-to-peer network maintains accurate routing tables with complete membership information. We present UnoHop, an efficient DHT algorithm with O(1) lookup performance. UnoHop uses an efficient algorithm to propagate membership events through a dissemination tree that is constructed dynamically rooted at the node that detect the events. Our algorithm allows symmetric bandwidth usage at all nodes while decreasing the propagation delay, which is the time that required to update the routing table in all nodes at the occurrence of events.

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Available abstract

Distributed hash tables (DHTs) with O(1) lookup performance strive to propagate membership changes through efficient distribution mechanism to allow each node in the peer-to-peer network maintains accurate routing tables with complete membership information. We present UnoHop, an efficient DHT algorithm with O(1) lookup performance. UnoHop uses an efficient algorithm to propagate membership events through a dissemination tree that is constructed dynamically rooted at the node that detect the events. Our algorithm allows symmetric bandwidth usage at all nodes while decreasing the propagation delay, which is the time that required to update the routing table in all nodes at the occurrence of events.

Key concepts: Distributed hash table, Computer science, Hash table, Routing table, Computer network, Node (physics), Hash function, Distributed computing

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